# tfjs-node

**Repository Path**: mirrors_ChALkeR/tfjs-node

## Basic Information

- **Project Name**: tfjs-node
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-08
- **Last Updated**: 2026-05-16

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<a id="travis-badge" href="https://travis-ci.org/tensorflow/tfjs-node" alt="Build Status">
  <img src="https://travis-ci.org/tensorflow/tfjs-node.svg?branch=master" />
</a>

# TensorFlow backend for TensorFlow.js via Node.js

**This repo is under active development and is not production-ready. We are
actively developing as an open source project.**

## Installing

TensorFlow.js for Node currently supports the following platforms:
- Mac OS X CPU (10.12.6 Siera or higher)
- Linux CPU (Ubuntu 16.04 or higher)
- Linux GPU (Ubuntu 16.04 or higher and Cuda 9.0 w/ CUDNN v7) ([see installation instructions](https://www.tensorflow.org/install/install_linux))

*Other Linux variants might also work but this project matches [core TensorFlow installation requirements](https://www.tensorflow.org/install/install_linux).*

#### Installing CPU TensorFlow.js for Node:

```sh
npm install @tensorflow/tfjs-node
(or)
yarn add @tensorflow/tfjs-node
```

#### Installing Linux GPU TensorFlow.js for Node:

```sh
npm install @tensorflow/tfjs-node-gpu
(or)
yarn add @tensorflow/tfjs-node-gpu
```

#### Mac OS X Requires Xcode

If you do not have Xcode setup on your machine, please run the following commands:

```sh
$ xcode-select --install
```

After that operation completes, re-run `yarn add` or `npm install` for the `@tensorflow/tfjs-node` package.

## Using the binding

Before executing any TensorFlow.js code, import the node package:

```js
import * as tf from '@tensorflow/tfjs';

// Load the binding
import '@tensorflow/tfjs-node';

// Or if running with GPU:
import '@tensorflow/tfjs-node-gpu';
```

## Development

```sh
# Download and install JS dependencies, including libtensorflow 1.8.
yarn

# Run TFJS tests against Node.js backend:
yarn test
```

```sh
# Switch to GPU for local development:
yarn enable-gpu
```


## MNIST demo for Node.js

See the [tfjs-examples repository](https://github.com/tensorflow/tfjs-examples/tree/master/mnist-node) for training the MNIST dataset using the Node.js bindings.

### Optional: Build libtensorflow From TensorFlow source

This requires installing bazel first.

```sh
bazel build --config=monolithic //tensorflow/tools/lib_package:libtensorflow
```